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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 23757
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    INDEX
    Explanations

    people's names and organizations

    oai_token-act-pair · gpt-3.5-turbo

    individuals or characters in specific contexts or discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ept
    -0.69
    ikuman
    -0.68
    TextColor
    -0.67
    APD
    -0.67
    GMT
    -0.67
    inct
    -0.65
    umblr
    -0.63
    Effective
    -0.62
    erial
    -0.62
    gary
    -0.61
    POSITIVE LOGITS
    tein
    0.89
    uala
    0.85
    ewski
    0.85
    shi
    0.82
    wu
    0.79
    nikov
    0.78
     Ans
    0.76
    stan
    0.76
    quez
    0.76
    icz
    0.74
    Activations Density 0.185%

    No Known Activations